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Pervasive Computing pp 341–363Cite as

A Scalable P2P Video Streaming Framework

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Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Peer-to-peer (P2P) networking technique represents a vast potential to overcome many constraints in the conventional content distribution networks, especially for the real-time applications such as P2P streaming. In this chapter, a P2P streaming system is examined, and the proposed system combines multiple-description source coding technique and a scalable streaming infrastructure. The proposed system aims to gradually offload congested traffic from a centralized bottleneck to the under-utilized P2P networks and hence, provides seamless transitions from client/server streaming to centralized P2P streaming and to decentralized P2P streaming. The performance of the proposed framework is evaluated in terms of video frame loss rate, which reflects the probability of freeze video frames.

This chapter is the extended version of a manuscript submitted to the 2008 International Symposium on Ubiquitous Multimedia Computing.

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Author information

Authors and Affiliations

  1. University of South Australia, Mawson Lakes Campus, Mawson Lakes, South Australia, 5095, Australia

    Ivan Lee

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  1. Ivan Lee
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Correspondence to Ivan Lee .

Editor information

Editors and Affiliations

  1. Fac. Computers & Information, Cairo University, Ahmed Zewal Street 5, Giza, 12613, Egypt

    Aboul-Ella Hassanien

  2. School of Engineering &, Deakin University, Geelong, 3217, Australia

    Jemal H. Abawajy

  3. Technology, Norwegian University of Science &, O.S. Bragstads plass 2E, Trondheim, 7491, Norway

    Ajith Abraham

  4. Dept. Computer Science, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, United Kingdom

    Hani Hagras

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© 2009 Springer-Verlag London Limited

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Lee, I. (2009). A Scalable P2P Video Streaming Framework. In: Hassanien, AE., Abawajy, J., Abraham, A., Hagras, H. (eds) Pervasive Computing. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84882-599-4_15

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  • DOI: https://doi.org/10.1007/978-1-84882-599-4_15

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-598-7

  • Online ISBN: 978-1-84882-599-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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